Accel Launches Second $100 Million Big Data Fund – AllThingsD. This whole big-data idea had better be real, because there’s a lot of money being invested in it.
The latest is coming from Accel Partners, which will on Tuesday announce that it has raised its second $100 million Big Data Fund, formally named Big Data Fund 2. Led by Accel’s Pin Li (pictured), the firm announced that it has added two executives — Anthony Deighton, the CTO of QlikView, and Shlomo Kramer, the CEO of data security startup Imperva and the co-founder of Check Point security company — to seats on its Big Data Fund Advisory Council. I talked with Li on Monday, and he told me that the target with this fund — the first was launched to invest in companies working primarily in the Hadoop ecosystem — is to fund companies working on what he calls “data-driven software.”
Big Data Is Getting Bigger As a Startup Opportunity - The Huffington Post. Even though "Big Data" has now been around for a few years, the opportunities for startups seem to keep growing, just as the amount of data keeps growing.
According to IBM, companies have captured more data in the last two years than in the previous 2000 years. This data comes from sensors, social media posts, digital pictures and videos, purchase transactions, everywhere. Every day, we create 2.5 quintillion bytes of data -- much of it unstructured and far beyond the capability of conventional databases. Hence one segment of the opportunity is the need for new database technologies, like Hadoop, a distributed file system originally designed for indexing the Web. Data capacity is measured in petabytes (1000 terabytes), or soon even yottobytes (1024).
By any definition, the opportunities from Big Data have the potential to create a next wave of successful technology companies that could change the way we all live and work. Targeted marketing. Big Data Right Now: Five Trendy Open Source Technologies. Big Data is on every CIO’s mind this quarter, and for good reason.
Companies will have spent $4.3 billion on Big Data technologies by the end of 2012. But here’s where it gets interesting. Those initial investments will in turn trigger a domino effect of upgrades and new initiatives that are valued at $34 billion for 2013, per Gartner. Over a 5 year period, spend is estimated at $232 billion. What you’re seeing right now is only the tip of a gigantic iceberg. What is Big Data, Hadoop and HDFS: 3 Must Watch YouTube Videos. I received great response to one of my previous post titled 5 Must Watch YouTube Videos on Big Data and many of you reached out to me requesting for more such blog posts.
Well, your request is granted. Salary/Income of Analytics/Data Mining/Data Science professionals. The big demand for analytics, data mining, and data science professionals led to a significant jump in their salaries in 2013.
Salaries are highest in US, Australia/NZ, and among self-employed and industry data scientists. See details. The 2013 KDnuggets Annual Salary Poll asked What is your annual salary/income range (in USD) and employment ? The big demand for data scientists led to a significant jump in overall compensation in 2013, including 12% increase globally, 13% increase in US/Canada, and 29% increase among self-employed.
About 80% of the respondents were from companies or were self-employed. Top Big Data VC Investors. Companies in the Big Data industry have received close to $5B in VC financing in the last few years.
Big Data Vendor Revenue And Market Forecast 2012-2017. Contributing authors: Jeff Kelly, David Floyer, Dave Vellante, Stu Miniman Original publication date: February 19, 2013 Introduction.
Forty Vendors We re Watching: 2012. For a third year we bring you our list of up and coming vendors on our radar that are doing their part to shape the groundswell in information management technology in the 21st Century.
All Information Management articles are archived after 7 days. REGISTER NOW for unlimited access to all recently archived articles, as well as thousands of searchable stories. Registered Members also gain access to: Full access to information-management.com including all searchable archived content Exclusive E-Newsletters delivering the latest headlines to your inbox Access to White Papers, Web Seminars, and Blog Discussions Discounts to upcoming conferences & events Uninterrupted access to all sponsored content, and MORE! Open Source 'Critical' for Big Data For All. Intel might shake up the insides of the computer yet again.
Technology vendors have backed a community-developed software platform as the critical piece to bring big data to the masses. EMC and Intel have joined IBM and Red Hat in releasing their own flavours of an open-source software that manages how hardware in data centres accesses and processes information. The Hadoop open-source software by the Apache Software Foundation was released in October. It helps extract business insights from huge amounts of unstructured data, a trend commonly referred to as big data. While it is free to download, its complexity has meant only large players, such as Google, Amazon, and Facebook, had the manpower, scale and incentive to customise it.
The new commercial releases are designed to make it easier, faster and safer to deploy. Advertisement. Big Data: Where the Opportunities Are! by Harish Kotadia, Ph.D. I am often asked the question as to which industries offer the best potential for application of a Big Data solution and I have always said that Banking and Financial Services, Insurance, Telecom, Media/Information Services and Manufacturing offer the best promise to begin with.
And I have based my judgement not only on the potential impact of a Big Data solution on the top and bottom-line numbers but also on “relative” ease with which Big Data can be used for reducing costs or improving productivity. My thinking on this subject was validated recently when I came across following excellent visualization on opportunities for Big Data across several industries prepared by Brett Sheppard based on Gartner Intelligence. According to Brett, this visualization is based on “Gartner’s comparison of eleven industries across seven dimensions using data from Gartner forecasts, market statistics and input from dozens of vertical industry experts”.
(Source: See this) NICTA - News. Home | News | Jobs | Research Topics | People | Projects | Publications | Resources | Blogs | Students | Seminars | Visiting | Contact April 2014 Accepted Paper The paper "Gaussian Process Factorization Machines for Context-aware Recommendations" by Trung V. Nguyen, Alexandros Karatzoglou, and Linas Baltrunas has been accepted for publication at SIGIR'14. Part of the work was done when Trung was an intern with Telefonica R&D.
Big Data. Real-time Big Data.
Big Data Market Size And Vendor Revenues. By Jeff Kelly with David Vellante and David Floyer This is the 2011 report, originally published on February 15, 2012. See Big Data Vendor Revenue and Market Forecast 2012-2017 for the 2012 update. The Big Data market is on the verge of a rapid growth spurt that will see it top the $50 billion mark worldwide within the next five years. Big Data Sees Venture Capitalists Invest Over $1 Billion. Q2 2012 sees financing and deals up 150% and 304%, respectively. Big Data - Nextgen Distribution. Big Data - Problem or Opportunity? Today, Big Data has been entwined into many facets of the enterprise market place and with so many Vendors involved in providing solutions, customers can get lost in the perceived complexity. Sydney startup PacketLoop to challenge SIEM - Cloud.
Five big data predictions for 2013. Here are some of the key big data themes I expect to dominate 2013, and of course will be covering in Strata. Emergence of a big data architecture The coming year will mark the graduation for many big data pilot projects, as they are put into production. With that comes an understanding of the practical architectures that work. These architectures will identify: Big Data. Big Decisions. Fatal flaws in the art and science of prediction. Big data and privacy. Cloud Data Design. HealthCare, Big Data, Cloud. Big Data Budgets: Marketers Plan Spending Spree. Big Data, "Scraping" and Cookies.